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Consistent by design. Reproducible by default.
One set of schemas behind every interface.
Shared schemas define and validate everything rtemis does — across the language APIs, the CLI and shell, and the web app.
From code to no-code — pick the interface that fits the task.
train(dat, hyperparameters = setup_LightGBM())$ rtemis train data.csv config.jsonObservable, auditable, reproducible.
Train models in R, transform data in the rtemis shell, or point and click in rtemislive — every step can be recorded, audited, and reproduced.